Andrew Howard

53 total papers · 40.7k total citations
16 papers, 1.0k citations indexed

About

Andrew Howard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Andrew Howard has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Andrew Howard's work include Advanced Neural Network Applications (6 papers), Gaussian Processes and Bayesian Inference (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Andrew Howard is often cited by papers focused on Advanced Neural Network Applications (6 papers), Gaussian Processes and Bayesian Inference (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Andrew Howard collaborates with scholars based in United States, Denmark and United Kingdom. Andrew Howard's co-authors include Tony Jebara, Risi Kondor, Andrey Zhmoginov, Menglong Zhu, Liang-Chieh Chen, Mark Sandler, Chen Sun, Serge Belongie, Yang Song and Yin Cui and has published in prestigious journals such as Journal of Machine Learning Research, IEEE Transactions on Nuclear Science and arXiv (Cornell University).

In The Last Decade

Andrew Howard

15 papers receiving 992 citations

Hit Papers

Inverted Residuals and Li... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andrew Howard 534 489 126 97 73 16 1.0k
Siew Chin Neoh 475 0.9× 550 1.1× 75 0.6× 82 0.8× 67 0.9× 33 1.2k
Linfeng Zhang 576 1.1× 482 1.0× 65 0.5× 50 0.5× 48 0.7× 32 1.2k
P. Viswanath 434 0.8× 598 1.2× 147 1.2× 51 0.5× 87 1.2× 54 1.1k
Jwan Najeeb Saeed 225 0.4× 327 0.7× 69 0.5× 59 0.6× 80 1.1× 17 839
Chirag Patel 363 0.7× 248 0.5× 62 0.5× 83 0.9× 119 1.6× 37 942
Ashish Jaiswal 404 0.8× 521 1.1× 76 0.6× 41 0.4× 58 0.8× 17 1.2k
Brian C. Van Essen 282 0.5× 337 0.7× 79 0.6× 144 1.5× 130 1.8× 10 1.2k
Xiaohong Han 219 0.4× 378 0.8× 113 0.9× 65 0.7× 84 1.2× 28 909
Stefan Westberg 281 0.5× 331 0.7× 79 0.6× 130 1.3× 128 1.8× 6 1.1k
Michaël Mathieu 628 1.2× 485 1.0× 90 0.7× 106 1.1× 44 0.6× 11 1.1k

Countries citing papers authored by Andrew Howard

Since Specialization
Citations

This map shows the geographic impact of Andrew Howard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Howard more than expected).

Fields of papers citing papers by Andrew Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Howard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew Howard. The network helps show where Andrew Howard may publish in the future.

Co-authorship network of co-authors of Andrew Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Howard. A scholar is included among the top collaborators of Andrew Howard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Howard. Andrew Howard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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